Abstract
We report on an on-going effort to assess an automated ontology evaluation method that uses lexical frequencies to determine which are relevant lexical triples of a set of triples automatically mined from a textual corpus. The aim is to obtain a light-weight automatic ontology evaluation method that can be easily applied by knowledge engineers to determine whether or not the most important notions and relationships are represented in a set of ontology triples.
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© 2007 Springer-Verlag Berlin Heidelberg
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Spyns, P. (2007). Validating a Tool for Evaluating Automatically Lexical Triples Mined from Texts. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops. OTM 2007. Lecture Notes in Computer Science, vol 4805. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76888-3_6
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DOI: https://doi.org/10.1007/978-3-540-76888-3_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76887-6
Online ISBN: 978-3-540-76888-3
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